Hearthwood Course 2026-05-05
python for data science
Target Audience: Home bakers with basic kitchen skills who want professional-quality sourdough
Difficulty: Intermediate
Structure: 5 modules, 20 lessons
| Responsible | Administrator |
|---|---|
| Last Update | 2026/05/05 |
| Members | 1 |
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Data Analysis with Python8Lessons ·
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Getting Started with Python and Pandas
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Getting Started with Python and Pandas
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Data Cleaning Techniques
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Data Cleaning Techniques
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Basic Statistical Analysis for Bakers
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Basic Statistical Analysis for Bakers
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Visualizing Data with Matplotlib
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Visualizing Data with Matplotlib
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Data Visualization Techniques8Lessons ·
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Advanced Visualization with Seaborn
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Advanced Visualization with Seaborn
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Telling a Story with Your Data
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Telling a Story with Your Data
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Interpreting Visual Data
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Interpreting Visual Data
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Designing Effective Visualizations
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Designing Effective Visualizations
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Predictive Modeling for Bakers8Lessons ·
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Introduction to Machine Learning
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Introduction to Machine Learning
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Building Your First Model
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Building Your First Model
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Evaluating Model Performance
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Evaluating Model Performance
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Capstone Project: Predicting Baking Outcomes
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Capstone Project: Predicting Baking Outcomes
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Automating Data Analysis8Lessons ·
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Automating Data Collection with Python
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Automating Data Collection with Python
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Scheduling Automated Tasks
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Scheduling Automated Tasks
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Integrating with Baking Tools
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Integrating with Baking Tools
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Optimizing Your Workflow
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Optimizing Your Workflow
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Evaluating Baking Recipes with Data8Lessons ·
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Comparative Recipe Analysis
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Comparative Recipe Analysis
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Statistical Methods for Recipe Improvement
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Statistical Methods for Recipe Improvement
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Feedback Loops for Continuous Improvement
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Feedback Loops for Continuous Improvement
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Capstone Project: Data-Driven Baking Experiment
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Capstone Project: Data-Driven Baking Experiment
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